A full Bayesian hierarchical mixture model for the variance of gene differential expression.
Samuel O. M. MandaRebecca E. WallsMark S. GilthorpePublished in: BMC Bioinform. (2007)
Keyphrases
- mixture model
- differential expression
- gene expression
- genome wide
- maximum likelihood
- microarray
- em algorithm
- statistical significance
- density estimation
- generative model
- probabilistic model
- expectation maximization
- unsupervised learning
- high throughput
- language model
- generalized em algorithm
- model selection
- gene expression data
- gene sets
- bayesian networks
- statistically significant
- mixture modeling
- transcription factors
- bayesian inference
- gene regulatory networks
- microarray data
- dirichlet process
- binding sites
- probability density function
- data sets
- supervised learning
- image processing
- feature selection